Five Workflow Practices That Improve Results When Using Claude Code

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A developer at NRI Dating has shared practical techniques for getting more reliable output from Claude Code, an AI-powered coding assistant. The key improvements came not from crafting clever prompts but from building better processes around the tool, such as providing full feature context rather than isolated instructions. Storing project conventions — including framework choices, naming rules, and off-limits code — in a repository file reduces repeated corrections across sessions. Asking the AI to inspect existing code before making changes helps prevent fast but inaccurate implementations. For complex features, breaking work into staged steps like inspection, proposal, database changes, and UI implementation leads to more controlled and predictable results.

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